13 frameworks for mastering machine learning

Deep-learning framework Caffe is "made with expression, speed, and modularity in mind." Originally developed in 2013 for machine vision projects, Caffe has since expanded to include other applications, such as speech and multimedia. Speed is a major priority, so Caffe has been written entirely in C, with CUDA acceleration support, although it can switch between CPU and GPU processing as needed. The distribution includes a set of free and open source reference models for common classification jobs, with other models created and donated by the Caffe user community. A new iteration of Caffe backed by Facebook, called Caffe2, is currently under development for a 1.0 release.